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Crypto, AI and the Permanent Underclass | The Breakdown

27 min episode · 2 min read

Episode

27 min

Read time

2 min

Topics

Investing, Startups, Fundraising & VC

AI-Generated Summary

Key Takeaways

  • Primitive Investment Velocity: Crypto enables immediate exposure to foundational building blocks through token purchases, contrasting with internet-era investing where access required waiting for infrastructure company IPOs. Early ETH investors who recognized the ERC-20 standard's potential before the 2017 ICO boom saw 2,200x returns from 68 cents to $1,500, demonstrating how identifying primitives before mass adoption creates asymmetric opportunities unavailable in traditional technology investing cycles.
  • Liquidity Mining as Reusable Pattern: Compound's 2020 model rewarding both borrowers and lenders with COMP tokens created a composable primitive that Balancer, Uniswap, and Yearn replicated. This drove Ethereum TVL from under $2 billion to nearly $10 billion in three months and contributed to ETH's 20x price increase through 2021. Recognizing when protocols popularize new incentive structures signals upcoming ecosystem-wide adoption waves worth front-running.
  • AI Infrastructure Lacks True Primitives: Current crypto-AI projects like Akash, Render, and Helium tokenize off-chain services rather than creating novel financial primitives. Only Filecoin introduces genuinely new cryptographic primitives through storage proofs that verify commitment over time. GPU marketplaces and bandwidth networks apply existing primitives like tokens and staking to new markets without establishing reusable on-chain building blocks comparable to AMMs or ERC-20 standards.
  • Agent Identity Standard Potential: ERC-8004 token standard could give AI agents portable on-chain identities with attached attestations and reputation scores, addressing trust problems when billions of agents conduct autonomous economic activity. Combined with Coinbase's x402 protocol for stablecoin payments over HTTP and DeFi yield opportunities, these components might form an investable primitive stack if standardized, though OpenClaw founder Peter Steinberger currently rejects crypto integration despite open-source ecosystem emergence.
  • Privacy Protocols Enable Data Access: Foundation models will exhaust public web data by decade's end, requiring access to company-held deep web data estimated at 100x public web volume. Fully homomorphic encryption protocols like Zama, along with zero-knowledge and multiparty computation solutions, provide privacy rails necessary for AI agents and robotics to access proprietary training data. Investing in these privacy infrastructure protocols positions for long-term AI development needs beyond current hype cycles.

What It Covers

The episode examines how crypto offers direct investment exposure to emerging financial primitives like AMMs and liquidity mining, unlike the internet era where investors could only access infrastructure companies like Cisco. It explores whether AI agent technology will produce comparable on-chain primitives that could provide economic opportunity amid AI-driven job displacement concerns.

Key Questions Answered

  • Primitive Investment Velocity: Crypto enables immediate exposure to foundational building blocks through token purchases, contrasting with internet-era investing where access required waiting for infrastructure company IPOs. Early ETH investors who recognized the ERC-20 standard's potential before the 2017 ICO boom saw 2,200x returns from 68 cents to $1,500, demonstrating how identifying primitives before mass adoption creates asymmetric opportunities unavailable in traditional technology investing cycles.
  • Liquidity Mining as Reusable Pattern: Compound's 2020 model rewarding both borrowers and lenders with COMP tokens created a composable primitive that Balancer, Uniswap, and Yearn replicated. This drove Ethereum TVL from under $2 billion to nearly $10 billion in three months and contributed to ETH's 20x price increase through 2021. Recognizing when protocols popularize new incentive structures signals upcoming ecosystem-wide adoption waves worth front-running.
  • AI Infrastructure Lacks True Primitives: Current crypto-AI projects like Akash, Render, and Helium tokenize off-chain services rather than creating novel financial primitives. Only Filecoin introduces genuinely new cryptographic primitives through storage proofs that verify commitment over time. GPU marketplaces and bandwidth networks apply existing primitives like tokens and staking to new markets without establishing reusable on-chain building blocks comparable to AMMs or ERC-20 standards.
  • Agent Identity Standard Potential: ERC-8004 token standard could give AI agents portable on-chain identities with attached attestations and reputation scores, addressing trust problems when billions of agents conduct autonomous economic activity. Combined with Coinbase's x402 protocol for stablecoin payments over HTTP and DeFi yield opportunities, these components might form an investable primitive stack if standardized, though OpenClaw founder Peter Steinberger currently rejects crypto integration despite open-source ecosystem emergence.
  • Privacy Protocols Enable Data Access: Foundation models will exhaust public web data by decade's end, requiring access to company-held deep web data estimated at 100x public web volume. Fully homomorphic encryption protocols like Zama, along with zero-knowledge and multiparty computation solutions, provide privacy rails necessary for AI agents and robotics to access proprietary training data. Investing in these privacy infrastructure protocols positions for long-term AI development needs beyond current hype cycles.

Notable Moment

Research analyst Daniel Shapiro notes that current Bitcoin selling pressure may stem from original Bitcoin miners transitioning operations to AI infrastructure, suggesting the crypto-AI convergence is already affecting market dynamics. He argues trust becomes the scarce resource in an AI-dominated future where individuals can spin up thousands of agents, making blockchain verification essential for agent reputation and economic activity validation.

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Episode Transcript

Some say we have two, three, maybe five years tops before AI makes a whole lot of us obsolete, creating a permanent underclass of laid off white collar workers who can no longer compete with LLMs like Claude, ChatGPT, and Gemini. If you do believe that, then your options are limited considering the time pressure. Options range from achieving sudden fame by maybe starting a podcast, to pivoting to shipping slop to stay ahead of whatever competition is left by this point. That's the good stuff. Or better yet, gamble your way out of the new lumpenproletariat on decentralized meme coin perps or leveraged prediction markets. Crypto is seen as one of a tiny number of escape routes from the impending AI workpocalypse, large array of different teams, projects, and alliances across crypto all working to channel the AI hype into their own corners of the market, this episode will instead be looking beyond compute marketplaces and GPU flywheels and instead get to the very heart of what we're all doing here, hunting exposure to new primitives that really will free us from the permanent underclass. I'm your host David Kinellis, and this is the breakdown. Let's get to it. Nothing said on the breakdown is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are opinions, not financial advice. Hosts and guests may hold positions in the company's funds or projects discussed. Before we jump in, I just wanna give a quick shout out to BlockWorks Lightspeed IR. It's a brand new institutional grade investor relations platform built with the Solana Foundation to bring real signal to the Solana ecosystem. High fidelity, on chain data, serious research, ecosystem intel, all in one place. If you're allocating, building, or issuing, this is the edge. Check it out at lifespeed.vip. First, let's drill down on exactly what makes crypto different from tech, fintech, and even the Internet itself. What sets crypto apart is how quickly new primitives can go from discovery to investable implementations of those primitives. Here's what I mean by primitive. These are foundational building blocks on which more complex things can be built. There are primitives for all sorts of industries and technologies. There are software primitives, integers, characters, bytes, and so on. Same goes for hardware with its primitives like logic gates and transistors. All types of software can be built using the fundamental ingredients like bytes and integers, just like all types of computer hardware can be made using logic gates and transistors. In traditional finance, financial primitives might be contracts. Every legitimate business relationship requires contracts, also debt, with all of the lending, bond, and credit markets built on top of the foundational building block of debt. Equity would be another. Without ownership states in productive companies, there would be no stock markets. Likewise, all of commerce assumes that there is a currency that can be used as a …

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Tools

  • Fully homomorphic encryption protocols like Zama, along with zero-knowledge and multiparty computation solutions, provide privacy rails necessary for AI agents and robotics to access proprietary training data.
  • Only Filecoin introduces genuinely new cryptographic primitives through storage proofs that verify commitment over time.
  • ERC-8004 token standard could give AI agents portable on-chain identities with attached attestations and reputation scores
  • Current crypto-AI projects like Akash, Render, and Helium tokenize off-chain services rather than creating novel financial primitives.
  • by Coinbase

    Combined with Coinbase's x402 protocol for stablecoin payments over HTTP and DeFi yield opportunities
  • Current crypto-AI projects like Akash, Render, and Helium tokenize off-chain services rather than creating novel financial primitives.
  • Compound's 2020 model rewarding both borrowers and lenders with COMP tokens created a composable primitive that Balancer, Uniswap, and Yearn replicated.
  • Compound's 2020 model rewarding both borrowers and lenders with COMP tokens created a composable primitive that Balancer, Uniswap, and Yearn replicated.

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